Triple

T32992650
Position Surface form Disambiguated ID Type / Status
Subject The Five-Year Engagement (film score) E844130 entity
Predicate supportsNarrativeElements P134867 FINISHED
Object humor LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: humor | Statement: [The Five-Year Engagement (film score), supportsNarrativeElements, humor]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsNarrativeElements
Context triple: [The Five-Year Engagement (film score), supportsNarrativeElements, humor]
  • A. supportsNarrativeElement chosen
    Indicates that one element provides justification, reinforcement, or structural backing for a particular narrative element within a story or discourse.
  • B. supportsNarrativeOf
    Indicates that one entity provides evidence, context, or structure that upholds, reinforces, or advances the storyline or interpretive account expressed by another entity.
  • C. supportsNarrativeText
    Indicates that one entity provides justification, evidence, or contextual backing that helps explain or validate the narrative content expressed by another entity.
  • D. containsNarrativeOf
    Indicates that one entity includes or presents the story, account, or narrative content of another entity.
  • E. hasNarrative
    Indicates that one entity contains, presents, or is associated with a story or narrative about another entity or subject.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69f3494d99988190b502c68926af2c4d completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_6a037c894b488190bcbec2eccaff4a01 completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a0379f338b881908e5593e45d764f4d completed May 12, 2026, 7:05 p.m.
Created at: May 1, 2026, 1:22 a.m.